Specialized agents and personas
Create facilitator, supervisor, functional, summarizer, renderer, or standalone agents with personas, behavior rules, grounding, context awareness, and judge-agent review.
Everything you need forEnterprise AI
Design, ship, and manage AI workflows with the controls production teams expect.
Multi-Agent Orchestration
Create multi-agent systems that collaborate on complex work with shared context and clear handoffs.
Intelligent Journeys
Build AI workflows with a visual journey designer, conditional logic, and parallel execution.
Knowledge Base Integration
Connect Elasticsearch, vector databases, and custom knowledge bases so answers use the right sources.
Enterprise Security
JWT authentication, role-based access, OAuth, and audit trails for enterprise security needs.
User & Role Management
Manage users, roles, permissions, team access, and workspace policies from one place.
Real-Time Execution
Monitor and track AI workflow execution in real-time with detailed logs, performance metrics, and execution history.
Conversation Management
Handle multi-modal conversations with preserved context, threads, and controlled response behavior.
Dynamic Prompts
Manage prompt templates with variables, conditions, and context-aware instructions.
Advanced Search
Search across your data with semantic search, vector similarity, and multi-modal retrieval.
Analytics & Metrics
Track token use, cost, performance, and workflow health in analytics dashboards.
Tool Integration
Extend agents with custom tools, function calling, and integrations with external services and APIs.
API Integration
Define OpenAPI specs so agents can call external APIs inside controlled workflows.
Embeddable Fusion SDK
Add a chat widget, voice, and file upload to your site with @fusioni/client-sdk. It also powers Fusioni Site Assist.
Complete platform
More than agent orchestration.Every layer for production AI.
Build the intelligence, connect the systems and knowledge it needs, then operate every workflow with clear controls and visibility.
Platform layer 1
Build intelligence
Define how agents reason, what models and prompts they use, and which approved capabilities they can access.
Model and prompt catalog
Register provider models with token limits, temperature, version, cost, and image support, then manage tagged prompt templates centrally.
Authenticated tools
Give agents custom or schema-driven tools with OAuth, API key, bearer, or username/password authentication, approval controls, and reusable results.
Reusable capabilities and actions
Package active tools, agents, journeys, and literal actions into reusable building blocks that teams can enable across workflows.
MCP gateways and servers
Add MCP servers from a catalog, configure environments and secrets, inspect gateway status, and select the exact server tools a workflow may use.
Platform layer 2
Orchestrate work
Turn agents and services into visible journeys, run them on demand or on a schedule, and inspect every execution.
Visual journey designer
Combine agent and service steps in a visual flow graph, attach capabilities, control active versions, and keep the execution path understandable.
Async and scheduled runs
Execute journeys synchronously or asynchronously and schedule recurring jobs with cron rules or delayed starts.
Execution timeline and traces
Inspect processes and individual executions with status, inputs, outputs, errors, duration, tool usage, metadata, and trace history.
Live event streaming
Use server-sent events for real-time responses and workflow updates while long-running work continues in the background.
Platform layer 3
Ground every answer
Create a managed content pipeline from websites, documents, media, knowledge bases, and durable memory.
Documents, media, and publishing
Manage raw content, images, and video; generate keywords; chunk and embed content; and follow publication status before it becomes searchable.
Configurable knowledge stores
Choose storage and retrieval settings such as search type, result limits, score thresholds, chunk limits, vector similarity, size, and retention.
Production website crawler
Control domains, exclusions, depth, headers, user agent, robots rules, redirects, selectors, extraction rules, request delays, and crawl frequency.
Memory and context controls
Run separate memory stores with size and retention policies, then tune history limits, context tokens, language, timezone, and summarizer agents.
Platform layer 4
Operate with control
Collaborate in conversations, monitor usage and cost, configure website clients, and govern each workspace.
Collaborative conversations
Bring users and agents into shared conversations, select active persona agents, search and organize threads, and tune fixed or adaptive response timing.
Usage, cost, and crawler analytics
Monitor input and output tokens, total cost, execution health, crawled pages, errors, status distribution, and time-series performance.
Per-site SDK clients
Configure each website client with theme, color, placement, language, launcher style, conversation list, voice, file upload, and role permissions.
Organizations, roles, and tokens
Manage tenants and agencies, users, roles, API tokens, onboarding, passwords, workspace defaults, and security boundaries.
Portable platform configuration
Import and export agents, journeys, documents, models, prompts, tools, MCP connections, storage definitions, roles, settings, and other platform resources.
All of these capabilities are part of the same Fusioni control plane, so teams can move from a focused pilot to a governed production workflow without rebuilding the stack.